Recent deblocking techniques are based on spatial filtering. We present a new deblocking technique based on temporal filtering of spatially aligned frames. This approach is used i...
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
ma's abstract data model consists of components, which are the structures that eventually define a schema as a whole. XML Schema's XML syntax, on the other hand, is not ...